Draw on a Map to Calculate Distance

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Map Distance Calculator

Precisely measure the distance between any two points on Earth.

Interactive Distance Calculator

Enter latitude for the first point. Range: -90 to 90.
Enter longitude for the first point. Range: -180 to 180.
Enter latitude for the second point. Range: -90 to 90.
Enter longitude for the second point. Range: -180 to 180.
Kilometers (km) Miles (mi) Meters (m) Feet (ft) Nautical Miles (NM) Select the desired unit for the distance calculation.

Calculation Results

This is the great-circle distance on the Earth's surface.

Haversine Intermediate (a)
Angular Distance (rad)
Earth Radius (km)
Formula Used: Haversine Formula. This calculates the shortest distance between two points on a sphere, given their longitudes and latitudes. It accounts for the Earth's curvature.

Distance vs. Latitude Differential

Point 1 (Lat/Lon)
Point 2 (Lat/Lon)
Visualizing the positional difference impacting distance calculation.
Key Variables in Distance Calculation
Variable Meaning Unit Typical Range
Latitude Angular distance north or south of the equator. Degrees (°), Radians (rad) -90° to +90° (-π/2 to +π/2 rad)
Longitude Angular distance east or west of the prime meridian. Degrees (°), Radians (rad) -180° to +180° (-π to +π rad)
Earth Radius Average radius of the Earth. Kilometers (km) ~6371 km
Haversine Formula Intermediate (a) Intermediate calculation step in the Haversine formula. Unitless 0 to 1
Angular Distance The angle between the two points at the center of the Earth. Radians (rad) 0 to π (0 to 180°)
Calculated Distance The shortest distance on the Earth's surface. Kilometers (km), Miles (mi), etc. 0 to ~20,000 km (half circumference)

{primary_keyword}

The ability to accurately calculate the distance between two points on a map, or more precisely, on the Earth's surface, is a fundamental requirement in numerous fields. This process, often referred to as geographical distance calculation or geodesic distance calculation, involves complex mathematical formulas that account for the Earth's spherical (or more accurately, ellipsoidal) shape. It's not as simple as drawing a straight line on a flat piece of paper; the curvature of the Earth introduces significant variations, especially over longer distances. Understanding how to perform these calculations is crucial for anyone involved in navigation, logistics, urban planning, geography, aviation, and even casual users planning road trips or comparing locations.

Who should use this tool?

  • Navigators & Pilots: Essential for flight planning, determining routes, and calculating fuel requirements.
  • Logistics & Transportation Companies: Optimizing delivery routes, estimating travel times, and calculating shipping costs.
  • Urban Planners & Geographers: Analyzing spatial relationships, understanding population distribution, and planning infrastructure.
  • Researchers & Scientists: Studying environmental changes, mapping species distribution, and analyzing geological data.
  • Tourists & Travelers: Planning journeys, estimating travel times between destinations, and understanding distances on a global scale.
  • Real Estate Professionals: Assessing proximity to amenities, understanding market areas, and evaluating property locations.

Common Misconceptions:

  • Flat Earth Assumption: Many people mistakenly assume that simple Euclidean geometry (straight lines) applies to distances on Earth. This is only accurate for very small distances where the Earth's curvature is negligible.
  • Constant Earth Radius: While often simplified to a sphere with a constant radius (like 6371 km), the Earth is an oblate spheroid, meaning its radius varies slightly depending on latitude. Highly precise calculations may use ellipsoidal models.
  • "As the crow flies" vs. Actual Travel: This calculator provides the shortest path on the Earth's surface (great-circle distance), not necessarily the actual driving or flying route, which might follow roads, airways, or terrain.

{primary_keyword} Formula and Mathematical Explanation

The most widely used and accurate formula for calculating the great-circle distance between two points on a sphere is the Haversine Formula. It's particularly effective for calculating distances between points that are close to each other and avoids issues with floating-point errors that can occur with other formulas when points are antipodal (directly opposite each other on the sphere).

The formula is derived from spherical trigonometry. Let:

  • (lat1, lon1) be the latitude and longitude of the first point.
  • (lat2, lon2) be the latitude and longitude of the second point.
  • R be the Earth's average radius.

First, convert latitudes and longitudes from degrees to radians:

  • φ1 = lat1 × π / 180
  • λ1 = lon1 × π / 180
  • φ2 = lat2 × π / 180
  • λ2 = lon2 × π / 180

Then, calculate the differences in coordinates:

  • Δφ = φ2 – φ1
  • Δλ = λ2 – λ1

The core of the Haversine formula involves calculating an intermediate value, often denoted as 'a':

a = sin²(Δφ/2) + cos(φ1) × cos(φ2) × sin²(Δλ/2)

Where sin²(x) means (sin(x))².

Next, calculate the angular distance 'c' in radians:

c = 2 × atan2(√a, √(1−a))

atan2 is a function that computes the arctangent of two numbers, taking into account the signs to return the correct angle. It's more robust than a simple arctangent function.

Finally, the distance 'd' is calculated by multiplying the angular distance 'c' by the Earth's radius 'R':

d = R × c

The result 'd' will be in the same units as the Earth's radius 'R' used (e.g., kilometers if R is in kilometers).

Variables Table:

Variables Used in the Haversine Formula
Variable Meaning Unit Typical Range
lat1, lat2 Latitude of point 1 and point 2 Degrees (°), Radians (rad) -90° to +90° (-π/2 to +π/2 rad)
lon1, lon2 Longitude of point 1 and point 2 Degrees (°), Radians (rad) -180° to +180° (-π to +π rad)
φ1, φ2 Latitude converted to radians Radians (rad) -π/2 to +π/2
λ1, λ2 Longitude converted to radians Radians (rad) -π to +π
Δφ Difference in latitude (in radians) Radians (rad) -π to +π
Δλ Difference in longitude (in radians) Radians (rad) -2π to +2π
a Intermediate Haversine calculation Unitless 0 to 1
c Angular distance between points Radians (rad) 0 to π
R Earth's average radius Kilometers (km) or Miles (mi) ~6371 km or ~3959 mi
d Final distance km, mi, m, ft, NM 0 to Earth's Circumference / 2

Practical Examples

Let's illustrate the use of the Map Distance Calculator with real-world scenarios:

Example 1: Flight Planning (New York to London)

An airline is planning a new route between New York City (JFK) and London (LHR). They need to calculate the great-circle distance for initial estimates.

  • Point 1 (JFK): Latitude: 40.6413° N, Longitude: 73.7781° W
  • Point 2 (LHR): Latitude: 51.4700° N, Longitude: 0.4543° W
  • Units: Miles

Inputs:

  • Lat 1: 40.6413
  • Lon 1: -73.7781
  • Lat 2: 51.4700
  • Lon 2: -0.4543
  • Unit: Miles

Using the calculator (or the Haversine formula):

  • Intermediate (a): ≈ 0.0448
  • Angular Distance (c): ≈ 0.777 radians
  • Earth Radius (R): ≈ 3959 miles
  • Calculated Distance (d): ≈ 3074 miles

Interpretation: The great-circle distance is approximately 3074 miles. This is a crucial figure for determining flight duration, fuel load, and potential aircraft requirements. Actual flight paths may be slightly longer due to air traffic control, weather patterns, and jet streams.

Example 2: Logistics Route Optimization (Los Angeles to San Francisco)

A delivery company needs to estimate the direct distance between its distribution center in Los Angeles and a major client in San Francisco for service level agreements.

  • Point 1 (LA Downtown): Latitude: 34.0522° N, Longitude: 118.2437° W
  • Point 2 (SF Downtown): Latitude: 37.7749° N, Longitude: 122.4194° W
  • Units: Kilometers

Inputs:

  • Lat 1: 34.0522
  • Lon 1: -118.2437
  • Lat 2: 37.7749
  • Lon 2: -122.4194
  • Unit: Kilometers

Using the calculator (or the Haversine formula):

  • Intermediate (a): ≈ 0.0056
  • Angular Distance (c): ≈ 0.101 radians
  • Earth Radius (R): ≈ 6371 km
  • Calculated Distance (d): ≈ 644 km

Interpretation: The direct geographical distance is about 644 kilometers. While this number is useful for geographical context, the actual driving distance is significantly longer (around 615-620 km or 380-385 miles) and takes much longer due to highway routes and traffic. This highlights the difference between great-circle distance and road distance, which is important for accurate logistics planning.

How to Use This Map Distance Calculator

Using the interactive Map Distance Calculator is straightforward. Follow these steps to get accurate distance measurements:

  1. Locate Coordinates: Find the precise latitude and longitude for both points you want to measure the distance between. You can use online tools, mapping software, or GPS devices. Remember to note whether the coordinates are North/South and East/West.
  2. Enter Latitude and Longitude:
    • Input the latitude of the first point into the "Latitude of Point 1 (°)" field. For North latitudes, enter a positive number (e.g., 34.0522). For South latitudes, enter a negative number (e.g., -33.8688).
    • Input the longitude of the first point into the "Longitude of Point 1 (°)" field. For East longitudes, enter a positive number (e.g., 151.2093). For West longitudes, enter a negative number (e.g., -73.7781).
    • Repeat the process for the second point using the "Latitude of Point 2 (°)" and "Longitude of Point 2 (°)" fields.
  3. Select Units: Choose your desired unit of measurement from the "Units" dropdown menu (Kilometers, Miles, Meters, Feet, or Nautical Miles).
  4. Calculate: Click the "Calculate Distance" button. The calculator will instantly process the inputs using the Haversine formula.
  5. Review Results: The main result, displaying the calculated distance, will appear prominently. You will also see key intermediate values (like the Haversine 'a' value and angular distance) and the Earth's radius used in the calculation.
  6. Understand the Formula: A brief explanation of the Haversine formula is provided to help you understand the methodology.
  7. Visualize: Check the dynamic chart which shows how the latitude differential relates to the calculated distance.
  8. Copy Results: If you need to save or share the results, click the "Copy Results" button. This will copy the main distance, intermediate values, and key assumptions to your clipboard.
  9. Reset: To start over with new points, click the "Reset" button. This will clear all input fields and reset the results to their default state.

Decision-Making Guidance: Use the calculated distance as a baseline for planning travel, logistics, or analysis. Remember that this is the shortest surface distance. For road travel, always factor in actual road networks, traffic conditions, and elevation changes, which may significantly increase travel time and distance.

Key Factors That Affect {primary_keyword} Results

While the Haversine formula provides a highly accurate geographical distance, several factors can influence the perceived or practical distance and the interpretation of the calculated results:

  1. Earth's Shape (Ellipsoid vs. Sphere): The Haversine formula treats the Earth as a perfect sphere. In reality, it's an oblate spheroid. For extremely high-precision applications (e.g., satellite positioning, geodesy), formulas based on ellipsoidal models (like Vincenty's formulae) are used, yielding slightly different results. However, for most practical purposes, the spherical model is sufficiently accurate.
  2. Coordinate Precision: The accuracy of your input latitude and longitude values directly impacts the calculated distance. Small errors in coordinates, especially over long distances, can lead to noticeable differences in the final result. Using coordinates with more decimal places increases precision.
  3. Choice of Earth Radius (R): Different sources use slightly different values for the Earth's mean radius (e.g., 6371 km, 6378.1 km for equatorial radius). While the difference is small, it affects the final distance calculation. The calculator uses a standard mean radius for consistency.
  4. Units of Measurement: Ensure you consistently use the correct units throughout your analysis. The calculator allows conversion, but if you're comparing results from different sources, verify their units.
  5. Atmospheric Refraction: For optical measurements or very long-distance line-of-sight calculations (like radio waves), atmospheric conditions can bend light or signals, affecting the effective path and perceived distance. This is not typically a factor in standard great-circle distance calculations.
  6. Terrain and Obstacles: The calculated distance is the shortest path *over the surface*. It does not account for mountains, buildings, bodies of water, or other obstacles that would force a deviation in actual travel routes (road, rail, sea).
  7. Sea Level vs. Ground Level: Geographical coordinates are often referenced to mean sea level. Actual travel might occur at varying elevations, which can add or subtract small distances depending on the path taken, though this effect is usually minor compared to the overall distance.
  8. Definition of "Point": Coordinates represent a single point. For large areas or cities, the choice of the specific coordinate (e.g., city center, airport, specific building) can influence the measured distance to another area.

Frequently Asked Questions (FAQ)

Q1: What is the difference between great-circle distance and driving distance?

A1: The great-circle distance, calculated by this tool, is the shortest distance between two points on the surface of a sphere. Driving distance is the actual path one would travel using roads, which often involves curves, detours, and is significantly longer than the great-circle distance.

Q2: Can this calculator measure distances on a flat map?

A2: No, this calculator is specifically designed for distances on the Earth's curved surface using spherical trigonometry. For flat maps, simple Euclidean distance (Pythagorean theorem) would apply, but it's inaccurate for anything beyond very small areas.

Q3: How accurate is the Haversine formula?

A3: The Haversine formula is highly accurate for calculating great-circle distances, especially for points that are not antipodal. It's the standard for many navigation and mapping applications. For extreme precision, ellipsoidal models are sometimes preferred.

Q4: What is the Earth's radius used in the calculation?

A4: The calculator uses the Earth's mean radius, which is approximately 6371 kilometers (or 3959 miles). This value is an average, as the Earth is not a perfect sphere.

Q5: Can I use negative numbers for latitude and longitude?

A5: Yes. Negative values are used to represent South latitudes (below the Equator) and West longitudes (west of the Prime Meridian). For example, New York City's coordinates are approximately 40.71° N, 74.00° W, which would be entered as 40.71 and -74.00.

Q6: What does the intermediate value 'a' represent?

A6: The value 'a' is an intermediate calculation step within the Haversine formula. It's derived from the differences in latitude and longitude and helps determine the central angle between the two points on the sphere.

Q7: Does this calculator account for elevation differences?

A7: No, this calculator measures distance along the surface of a sphere (mean sea level) and does not account for differences in elevation or terrain features. The calculated distance is the shortest possible path on a smooth spherical surface.

Q8: How can I get more precise coordinates for a location?

A8: You can often find precise coordinates using online mapping services (like Google Maps, where you can right-click on a location), dedicated GPS tools, or surveying equipment. Ensure you are using decimal degrees format for input into this calculator.

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// — Calculator Logic — var R_KM = 6371; // Earth's mean radius in kilometers var R_MILES = 3959; // Earth's mean radius in miles var R_METERS = R_KM * 1000; var R_FEET = R_MILES * 5280; var R_NAUTICAL_MILES = R_MILES / 1.15078; function toRadians(degrees) { return degrees * Math.PI / 180; } function validateInput(id, min, max, errorId, message) { var input = document.getElementById(id); var errorElement = document.getElementById(errorId); var value = parseFloat(input.value); if (isNaN(value)) { errorElement.textContent = "Please enter a valid number."; errorElement.style.display = 'block'; return false; } if (value max) { errorElement.textContent = message; errorElement.style.display = 'block'; return false; } errorElement.style.display = 'none'; return true; } function calculateDistance() { // Clear previous error messages document.getElementById('lat1Error').style.display = 'none'; document.getElementById('lon1Error').style.display = 'none'; document.getElementById('lat2Error').style.display = 'none'; document.getElementById('lon2Error').style.display = 'none'; // Validate inputs var validLat1 = validateInput('lat1', -90, 90, 'lat1Error', 'Latitude must be between -90° and 90°.'); var validLon1 = validateInput('lon1', -180, 180, 'lon1Error', 'Longitude must be between -180° and 180°.'); var validLat2 = validateInput('lat2', -90, 90, 'lat2Error', 'Latitude must be between -90° and 90°.'); var validLon2 = validateInput('lon2', -180, 180, 'lon2Error', 'Longitude must be between -180° and 180°.'); if (!validLat1 || !validLon1 || !validLat2 || !validLon2) { clearResults(); return; } var lat1 = parseFloat(document.getElementById('lat1').value); var lon1 = parseFloat(document.getElementById('lon1').value); var lat2 = parseFloat(document.getElementById('lat2').value); var lon2 = parseFloat(document.getElementById('lon2').value); var unit = document.getElementById('unit').value; var R = R_KM; // Default to kilometers if (unit === 'miles') { R = R_MILES; } else if (unit === 'meters') { R = R_METERS; } else if (unit === 'feet') { R = R_FEET; } else if (unit === 'nautical_miles') { R = R_NAUTICAL_MILES; } var phi1 = toRadians(lat1); var lambda1 = toRadians(lon1); var phi2 = toRadians(lat2); var lambda2 = toRadians(lon2); var deltaPhi = phi2 – phi1; var deltaLambda = lambda2 – lambda1; var a = Math.sin(deltaPhi / 2) * Math.sin(deltaPhi / 2) + Math.cos(phi1) * Math.cos(phi2) * Math.sin(deltaLambda / 2) * Math.sin(deltaLambda / 2); var c = 2 * Math.atan2(Math.sqrt(a), Math.sqrt(1 – a)); var distance = R * c; // Display results document.getElementById('mainResult').textContent = distance.toFixed(3) + ' ' + unit; document.querySelectorAll('.intermediate-value')[0].querySelector('strong').textContent = a.toFixed(5); document.querySelectorAll('.intermediate-value')[0].querySelector('span').textContent = 'Haversine Intermediate (a)'; document.querySelectorAll('.intermediate-value')[1].textContent = c.toFixed(5) + ' rad'; document.querySelectorAll('.intermediate-value')[1].querySelector('span').textContent = 'Angular Distance'; document.querySelectorAll('.intermediate-value')[2].textContent = R.toFixed(0) + ' ' + unit.replace(/s$/, "); // Remove trailing 's' for singular unit document.querySelectorAll('.intermediate-value')[2].querySelector('span').textContent = 'Earth Radius'; updateChart(lat1, lat2); } function resetCalculator() { document.getElementById('lat1').value = '40.7128'; // New York document.getElementById('lon1').value = '-74.0060'; document.getElementById('lat2').value = '34.0522'; // Los Angeles document.getElementById('lon2').value = '-118.2437'; document.getElementById('unit').value = 'km'; // Clear errors document.getElementById('lat1Error').style.display = 'none'; document.getElementById('lon1Error').style.display = 'none'; document.getElementById('lat2Error').style.display = 'none'; document.getElementById('lon2Error').style.display = 'none'; calculateDistance(); // Recalculate with default values } function clearResults() { document.getElementById('mainResult').textContent = '–'; document.querySelectorAll('.intermediate-value strong').forEach(function(el) { el.textContent = '–'; }); var ctx = document.getElementById('distanceChart').getContext('2d'); ctx.clearRect(0, 0, ctx.canvas.width, ctx.canvas.height); // Clear canvas } function copyResults() { var mainResult = document.getElementById('mainResult').textContent; if (mainResult === '–') return; // Don't copy if no results var intermediateValues = document.querySelectorAll('.intermediate-value'); var copyText = "Map Distance Calculation Results:\n\n"; copyText += "Main Distance: " + mainResult + "\n"; copyText += "——————–\n"; intermediateValues.forEach(function(el) { var value = el.querySelector('strong').textContent; var label = el.querySelector('span').textContent; copyText += label + ": " + value + "\n"; }); copyText += "——————–\n"; copyText += "Assumptions:\n"; copyText += "- Calculation uses the Haversine formula.\n"; copyText += "- Earth is modeled as a sphere with radius based on selected unit.\n"; // Use a temporary textarea for copying var textArea = document.createElement("textarea"); textArea.value = copyText; textArea.style.position = "fixed"; // Avoid scrolling to bottom textArea.style.opacity = 0; document.body.appendChild(textArea); textArea.focus(); textArea.select(); try { var successful = document.execCommand('copy'); var msg = successful ? 'Results copied to clipboard!' : 'Failed to copy results.'; // Optionally show a temporary message to the user var tempMsg = document.createElement('div'); tempMsg.textContent = msg; tempMsg.style.cssText = 'position: fixed; top: 50%; left: 50%; transform: translate(-50%, -50%); background-color: #28a745; color: white; padding: 15px; border-radius: 5px; z-index: 1000; font-size: 1.2em;'; document.body.appendChild(tempMsg); setTimeout(function() { document.body.removeChild(tempMsg); }, 2000); } catch (err) { console.error('Fallback: Oops, unable to copy', err); // Optionally show error message var tempMsg = document.createElement('div'); tempMsg.textContent = 'Failed to copy results.'; tempMsg.style.cssText = 'position: fixed; top: 50%; left: 50%; transform: translate(-50%, -50%); background-color: #dc3545; color: white; padding: 15px; border-radius: 5px; z-index: 1000; font-size: 1.2em;'; document.body.appendChild(tempMsg); setTimeout(function() { document.body.removeChild(tempMsg); }, 2000); } document.body.removeChild(textArea); } // — Chart Logic — var distanceChart; // Declare globally function updateChart(lat1, lat2) { var canvas = document.getElementById('distanceChart'); if (!canvas) return; // Exit if canvas element doesn't exist var ctx = canvas.getContext('2d'); if (!ctx) return; // Exit if context cannot be obtained // Clear previous chart if it exists if (distanceChart) { distanceChart.destroy(); } // Define data points for the chart // Let's simulate points along the latitude difference, keeping longitude constant for simplicity // Or, let's visualize the effect of latitude difference on distance for a fixed longitude difference. // For simplicity, let's fix longitude difference and vary latitude difference. var fixedLonDiffRadians = toRadians(Math.abs(parseFloat(document.getElementById('lon2').value) – parseFloat(document.getElementById('lon1').value))); var fixedLat1Radians = toRadians(parseFloat(document.getElementById('lat1').value)); var fixedLat2Radians = toRadians(parseFloat(document.getElementById('lat2').value)); var latDiffPoints = []; var distancePoints = []; // Generate points from -90 to 90 degrees latitude for demonstration for (var i = -90; i <= 90; i += 10) { var currentLatRadians = toRadians(i); var deltaPhi = currentLatRadians – fixedLat1Radians; // Varying latitude difference relative to point 1 var a = Math.sin(deltaPhi / 2) * Math.sin(deltaPhi / 2) + Math.cos(fixedLat1Radians) * Math.cos(currentLatRadians) * Math.sin(fixedLonDiffRadians / 2) * Math.sin(fixedLonDiffRadians / 2); var c = 2 * Math.atan2(Math.sqrt(a), Math.sqrt(1 – a)); // Use R_KM for chart calculation consistency var d = R_KM * c; latDiffPoints.push(i); // Store latitude for X-axis label distancePoints.push(d); } // Generate points for point 2's latitude as well for comparison (optional) // This approach is slightly complex for a simple 2D chart. Let's stick to showing distance vs. latitude difference from point 1. // Alternative: Plot the two points themselves – not feasible on a simple 2D distance chart. // Let's simplify the chart to show distance from Point 1 to Point 2 as a function of Latitude difference. // X-axis: Latitude Difference (degrees) // Y-axis: Calculated Distance (km) // We will compute distance from Point 1 (lat1, lon1) to hypothetical points with varying latitudes but the same longitude difference as Point 2. var chartLat1 = parseFloat(document.getElementById('lat1').value); var chartLon1 = parseFloat(document.getElementById('lon1').value); var chartLat2 = parseFloat(document.getElementById('lat2').value); var chartLon2 = parseFloat(document.getElementById('lon2').value); var chartUnit = document.getElementById('unit').value; // Store unit for potential scaling // Use R_KM for consistent chart scaling regardless of selected unit var chartR = R_KM; var chartDataPoints = []; var chartLabels = []; var latitudeStep = 10; // Step for latitude difference // Calculate a range of latitude differences around the midpoint var lat1Rad = toRadians(chartLat1); var lon1Rad = toRadians(chartLon1); var lat2Rad = toRadians(chartLat2); var lon2Rad = toRadians(chartLon2); var deltaLonRad = lon2Rad – lon1Rad; // Generate latitude difference points from -90 to 90 degrees for (var diffDeg = -90; diffDeg <= 90; diffDeg += latitudeStep) { var currentLatRad = toRadians(chartLat1 + diffDeg); // Hypothetical latitude var deltaLatRad = toRadians(diffDeg); // Latitude difference var haversine_a = Math.sin(deltaLatRad / 2) * Math.sin(deltaLatRad / 2) + Math.cos(lat1Rad) * Math.cos(currentLatRad) * Math.sin(deltaLonRad / 2) * Math.sin(deltaLonRad / 2); var haversine_c = 2 * Math.atan2(Math.sqrt(haversine_a), Math.sqrt(1 – haversine_a)); var distance = chartR * haversine_c; chartLabels.push(diffDeg + "°"); // Label for X-axis chartDataPoints.push(distance); } // Let's try a different chart visualization: // X-axis: Latitude of point 1 // Y-axis: Calculated distance (fixed point 2) // This would be complex to render dynamically and clearly. // Simpler: Plot distance vs. Latitude for a fixed longitude diff. // Data series 1: Distance from Point 1 to varying latitudes (with Point 2's longitude diff) var series1Labels = []; var series1Data = []; var series2Labels = []; // For point 2's perspective if needed, but let's keep it simple var series2Data = []; var lat1Rad = toRadians(parseFloat(document.getElementById('lat1').value)); var lon1Rad = toRadians(parseFloat(document.getElementById('lon1').value)); var lat2Rad = toRadians(parseFloat(document.getElementById('lat2').value)); var lon2Rad = toRadians(parseFloat(document.getElementById('lon2').value)); var deltaLonRad = lon2Rad – lon1Rad; // Plot distance based on changes in Point 1's latitude for (var lat1Deg = -90; lat1Deg <= 90; lat1Deg += 15) { var currentLat1Rad = toRadians(lat1Deg); var deltaLatRad = lat2Rad – currentLat1Rad; // Difference relative to fixed Point 2 latitude var a = Math.sin(deltaLatRad / 2) * Math.sin(deltaLatRad / 2) + Math.cos(currentLat1Rad) * Math.cos(lat2Rad) * Math.sin(deltaLonRad / 2) * Math.sin(deltaLonRad / 2); var c = 2 * Math.atan2(Math.sqrt(a), Math.sqrt(1 – a)); var dist = R_KM * c; series1Labels.push(lat1Deg + "°"); series1Data.push(dist); } // Plot distance based on changes in Point 2's latitude (from Point 1's perspective) // This represents the same physical distances, just viewed from the other end. // Let's just use one series for simplicity representing the distance trend. // Chart Title: Distance vs. Latitude Differential // X-Axis: Latitude Differential (degrees) // Y-Axis: Distance (km) var chartLabelsAxis = []; var chartDataAxis = []; var initialLat1Rad = toRadians(parseFloat(document.getElementById('lat1').value)); var initialLon1Rad = toRadians(parseFloat(document.getElementById('lon1').value)); var initialLat2Rad = toRadians(parseFloat(document.getElementById('lat2').value)); var initialLon2Rad = toRadians(parseFloat(document.getElementById('lon2').value)); var fixedDeltaLonRad = initialLon2Rad – initialLon1Rad; // Generate points based on latitude difference from -90 to +90 degrees for(var latDiff = -90; latDiff <= 90; latDiff += 10) { var currentLat1Rad = initialLat1Rad + toRadians(latDiff); // Varying lat1 var currentLat2Rad = initialLat2Rad; // Fixed lat2 var currentDeltaLatRad = currentLat2Rad – currentLat1Rad; var a = Math.sin(currentDeltaLatRad / 2) * Math.sin(currentDeltaLatRad / 2) + Math.cos(currentLat1Rad) * Math.cos(currentLat2Rad) * Math.sin(fixedDeltaLonRad / 2) * Math.sin(fixedDeltaLonRad / 2); var c = 2 * Math.atan2(Math.sqrt(a), Math.sqrt(1 – a)); var dist = R_KM * c; chartLabelsAxis.push(latDiff + "°"); chartDataAxis.push(dist); } distanceChart = new Chart(ctx, { type: 'line', data: { labels: chartLabelsAxis, // X-axis labels (Latitude Difference) datasets: [{ label: 'Distance (km)', data: chartDataAxis, // Y-axis data (Distance) borderColor: '#004a99', backgroundColor: 'rgba(0, 74, 153, 0.1)', fill: true, tension: 0.3 // Makes the line slightly curved }] }, options: { responsive: true, maintainAspectRatio: true, // Set to false if you want to control height explicitly scales: { x: { title: { display: true, text: 'Latitude Difference (°)', color: '#004a99' }, ticks: { autoSkip: true, maxTicksLimit: 10 } }, y: { title: { display: true, text: 'Distance (km)', color: '#004a99' }, beginAtZero: true // Start Y axis at 0 } }, plugins: { legend: { display: false // Legend is handled by chart-legend div }, tooltip: { callbacks: { label: function(context) { var label = context.dataset.label || ''; if (label) { label += ': '; } if (context.parsed.y !== null) { label += context.parsed.y.toFixed(2) + ' km'; } return label; } } } } } }); } // Initial chart rendering on page load window.onload = function() { resetCalculator(); // Load default values and calculate // updateChart(); // Chart will be updated by calculateDistance() after resetCalculator };

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